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Found 3 papers, 0 papers with code
Volumetric Primitives for Modeling and Rendering Scattering and Emissive Media
Inspired by recent methods for scene reconstruction that leverage mixtures of 3D Gaussians to model radiance fields, we formalize and generalize the modeling of scattering and emissive media using mixtures of simple kernel-based volumetric primitives.
Neural inverse procedural modeling of knitting yarns from images
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples.
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics
Extracting high-level structural information from 3D point clouds is challenging but essential for tasks like urban planning or autonomous driving requiring an advanced understanding of the scene at hand.
